Sang-gil Lee

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 18

Top Topics

Computed Tomography Images

Lesion Detection

Top Venues

IEEE Trans. Emerg. Top. Comput. Intell.

Publications

Zhifeng Kong, Sang-gil Lee, Deepanway Ghosal, Navonil Majumder, Ambuj Mehrish, Rafael Valle, Soujanya Poria, Bryan Catanzaro
Improving Text-To-Audio Models with Synthetic Captions. CoRR (2024)
Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon
BigVGAN: A Universal Neural Vocoder with Large-Scale Training. ICLR (2023)
Chaehun Shin, Heeseung Kim, Che Hyun Lee, Sang-gil Lee, Sungroh Yoon
Edit-A-Video: Single Video Editing with Object-Aware Consistency. ACML (2023)
Sang-gil Lee, Eunji Kim, Jae Seok Bae, Jung Hoon Kim, Sungroh Yoon
Robust End-to-End Focal Liver Lesion Detection Using Unregistered Multiphase Computed Tomography Images. IEEE Trans. Emerg. Top. Comput. Intell. 7 (2) (2023)
Chaehun Shin, Heeseung Kim, Che Hyun Lee, Sang-gil Lee, Sungroh Yoon
Edit-A-Video: Single Video Editing with Object-Aware Consistency. CoRR (2023)
Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon
BigVGAN: A Universal Neural Vocoder with Large-Scale Training. CoRR (2022)
Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior. ICLR (2022)
Sang-gil Lee, Eunji Kim, Jae Seok Bae, Jung Hoon Kim, Sungroh Yoon
Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography Images. CoRR (2021)
Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior. CoRR (2021)
Sang-gil Lee, Sungwon Kim, Sungroh Yoon
NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity. NeurIPS (2020)
Sang-gil Lee, Sungwon Kim, Sungroh Yoon
NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity. CoRR (2020)
Sungwon Kim, Sang-gil Lee, Jongyoon Song, Jaehyeon Kim, Sungroh Yoon
FloWaveNet : A Generative Flow for Raw Audio. ICML (2019)
Dongjun Lee, Jaesik Yoon, Jongyun Song, Sang-gil Lee, Sungroh Yoon
One-Shot Learning for Text-to-SQL Generation. CoRR (2019)
Sang-gil Lee, Jae Seok Bae, Hyunjae Kim, Jung Hoon Kim, Sungroh Yoon
Liver Lesion Detection from Weakly-Labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector. MICCAI (2) (2018)
Sungwon Kim, Sang-gil Lee, Jongyoon Song, Sungroh Yoon
FloWaveNet : A Generative Flow for Raw Audio. CoRR (2018)
Sang-gil Lee, Jae Seok Bae, Hyunjae Kim, Jung Hoon Kim, Sungroh Yoon
Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector. CoRR (2018)
Sang-gil Lee, Uiwon Hwang, Seonwoo Min, Sungroh Yoon
A SeqGAN for Polyphonic Music Generation. CoRR (2017)
Seongsik Park, Sang-gil Lee, Hyunha Nam, Sungroh Yoon
An Efficient Approach to Boosting Performance of Deep Spiking Network Training. CoRR (2016)